Computational Intelligence Based Systems

Code:

EEC0083

Acronym:

SBIC

Keywords
Classification	Keyword
OFICIAL	Automation, Control & Manufacturing Syst.

Instance: 2011/2012 - 2S

Active?	Yes
Responsible unit:	Department of Electrical and Computer Engineering
Course/CS Responsible:	Master in Electrical and Computers Engineering

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
MIEEC	65	Syllabus (Transition) since 2010/2011	4	-	6	63	162
		Syllabus	4	-	6	63	162

Teaching language

Suitable for English-speaking students

Objectives

The main goal of the discipline is to provide knowledge, methods and technologies in order:
- to design fuzzy logic and neuro-fuzzy based control systems to be applied in nonlinear and uncertain industrial processes
- to discuss and design supervision, fault detection and diagnostics systems based on neuro-fuzzy concepts;
- to evaluate the applicability of control and data analysis systems based on computational intelligence methods in engineering systems.

Program

Introduction to intelligent systems and intelligent control.
Principles of fuzzy sets and fuzzy logic.
Fuzzy models and fuzzy systems. Fuzzy logic based control. Uncertainty and non linearity.
Design of simple (direct) fuzzy controllers. Adaptive fuzzy controllers.
Introduction to neural networks and neuro-fuzzy systems. Topologies and learning methods. Application to control systems.
Fault detection and diagnosis systems. Fuzzy logic and neuro-fuzzy based .
Applications of fuzzy logic based systems and neural networks based systems. Analysis of some examples.

Mandatory literature

Driankov, Dimiter; An introduction to fuzzy control. ISBN: 3-540-60691-2
Jang, Jyh-Shing Roger; Neuro-fuzzy and soft computing. ISBN: 0-13-261066-3
R. Isermann; Fault-diagnosis systems, Springer, 2006. ISBN: 3-540-24112-4

Complementary Bibliography

Reznik, Leonid 1955-; Fuzzy controllers. ISBN: 0750634294

Teaching methods and learning activities

The theoretical classes are tutorials (2/3) and discussion of applied examples (1/3).
The practical classes are for accompanying the execution of the simulation and experimental works.

Software

FuzzyTech
Scilab
The MathWorks - Matlab - Release 11

keywords

Technological sciences > Engineering > Control engineering > Automation
Technological sciences > Engineering > Simulation engineering
Technological sciences > Engineering > Process engineering > Process control
Technological sciences > Engineering > Systems engineering
Technological sciences > Engineering > Knowledge engineering

Evaluation Type

Distributed evaluation with final exam

Assessment Components

Description	Type	Time (hours)	Weight (%)	End date
Attendance (estimated)	Participação presencial	48,00
Production of 1º laboratory assignment report (Simulation)	Trabalho escrito	12,00		2012-04-30
Production of experimental laboratory assignment report	Trabalho escrito	12,00		2012-06-01
Prepare and do the written exam at the end of term	Exame	25,00		2012-06-22
	Total:	-	0,00

Amount of time allocated to each course unit

Description	Type	Time (hours)	End date
Study (5h/week)	Estudo autónomo	65	2012-06-01
	Total:	65,00

Eligibility for exams

Have a minimum number of presences in the practical classes and obtain a minimum of 40% in the practical work.

Calculation formula of final grade

The Final Classification is based on three components:
1. Resolution of problem (PR), simulation based;
2. Practical work (PW), simulation or experimental based
3. Final exam (EX), without notes, with a duration of 2 hours
The Final Classification is given by:
FC=0.2*PR+0.3*PW+0.5*EX
Note. It is required a minimum of 40% in the final exam to obtain approval.

Examinations or Special Assignments

None.

Special assessment (TE, DA, ...)

The same of the ordinary students.

Classification improvement

Only the final exam evaluation component can be increased in the appropriate dates.

Observations

Important dates:
- March, 22: delivery of the problem resolution report
- May, 31: conclusion of the practical work, including its demonstration
- June, 7: delivery of the practical work report